Azure Data Engineer

Job not on LinkedIn

🕒 August 20

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 38%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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AI Fire

WebsiteLinkedInAll Job Openings

2 - 10 employees

Founded 2023

📚 Education

📱 Media

Education • Media

AI Fire is a content platform and community focused on practical guides for using AI to boost productivity. AI Fire publishes articles, tutorials, reviews, courses, and newsletters (AI Academy) targeting professionals. It hosts a community of 75,000+ professionals from major tech companies and offers an AI Academy with courses, prompts, workflows, and premium deals. Content covers prompt engineering, AI agents, LLM reviews, AI tools, AI case studies, and hands-on guides for building agents and dashboards. The site also runs promotional offers and paid tiers such as "Spark" and Black Friday sales.

📋 Description

• Design and implement efficient data pipelines using Azure Fabric, Data Factory, Databricks, and Synapse Analytics • Develop ETL/ELT processes to ingest, transform, and load large volumes of data • Create and maintain data models, Lakehouse architecture, and data warehousing solutions • Collaborate with business analysts and business stakeholders to understand data requirements • Monitor and optimize data workflows for performance and cost • Ensure data quality, security, and compliance with governance standards • Automate data validation and testing procedures • Build dashboards as needed in Power BI • Normalize and clean data • Migrate data from small business ERP platforms into the NetSuite ERP system • Enable data-driven decision making through reliable data pipelines, standardized data, and optimized cloud data infrastructure

🎯 Requirements

• Strong proficiency in Azure data services: Fabric, Data Factory, Databricks, Synapse, Logic Apps, Azure SQL, etc. • Experience with Python, SQL, Spark, or Scala • Experience with Workflow Definition Language (WDL) • Experience with Celigo • Solid understanding of cloud architecture and data lake principles • Familiarity with CI/CD tools and DevOps practices in Azure • Working knowledge of data governance, privacy, and security practices • Microsoft Certified Azure Data Engineer Associate certification • Understanding of general data in ERP systems • Experience with Power BI and Power Apps • Knowledge of machine learning workflows and integration • Bachelor's degree in Computer Science, Engineering, or related field • Experience in other platforms such as AWS data fabric (Redshift, Glue, Athena) or Databricks will also be considered